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A simulation-based ...
A simulation-based multi-objective optimization study of the fleet sizing problem in the offshore industry
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- Eskandari, Hamidreza (författare)
- Industrial Engineering Department, School of Engineering, Tarbiat Modares University, Tehran, Iran
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- Mahmoodi, Ehsan (författare)
- Industrial Engineering Department, School of Engineering, Tarbiat Modares University, Tehran, Iran
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(creator_code:org_t)
- 2015-07-16
- 2016
- Engelska.
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Ingår i: Maritime Economics & Logistics. - : Springer Nature. - 1479-2931 .- 1479-294X. ; 18:4, s. 436-457
- Relaterad länk:
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https://urn.kb.se/re...
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visa fler...
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https://doi.org/10.1...
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Abstract
Ämnesord
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- Oil companies usually hire a number of offshore supply vessels (OSVs) under long-term contracts for offshore supply logistics. If the number of long-term chartered vessels is not sufficient to satisfy platform demands, one or more OSVs would be required under short-term contracts. In this article two policies for OSV routing to installations are compared: routing based on a fixed schedule, currently used in Iranian offshore oil company and routing based on platform demands. A discrete-event simulation model is developed and simulation-based optimization is used to find near-optimal fleet size and composition that minimize expected total cost subject to a minimum desired expected platform service level. Changing the platform service level constraint allows results to be obtained for multiple best compromise solutions along a performance trade-off curve. For each routing policy, an optimal trade-off curve is obtained using simulation-based optimization. Performance evaluation of routing policies is compared at different service levels. Experimental results indicate that the routing based on platform demands dominates the routing based on a fixed schedule under near-optimal decision variable settings.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
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